import-showcase.bat

@ECHO OFF

:: Start with this script to populate the Elasticsearch volume with data
:: This script tails MongoDB with monstache while the data import is running
:: All data imported into MongoDB will be indexed in Elasticsearch.
::
:: Note that you will need sufficient memory and disk space.  At least 16GB RAM
:: and 20 GB available disk is recommended.  
::
:: If monstache reports errors about losing the capped position during import then
:: you may need to increase the size of the oplog in mongo-db-setup.sh. The default
:: is 8GB oplog size.
::
:: It may take a while for all data to reach Elasticsearch even after the mongo
:: import is completed.  You may need to periodically check the count of the mongo
:: collection db.crimes against the count of the index db.crimes.  Eventually, these
:: should become equal. The lag is partially due to the setting of the refresh_interval
:: to a high value of 30s such as not to overly tax Elasticsearch. The total document 
:: count is 6,820,155. After the mongodb import a script will periodically check the size
:: of the Elasticsearch index.

SET COMPOSE_FILE="docker-compose.sc.yml"
SET COMPOSE_PROJECT_NAME="monstache_showcase"

docker-compose down --remove-orphans
docker-compose up --force-recreate --build